{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Matplotlib\n",
    "In this tutorial, we briefly introduce the library of matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "in_file = \"Data7602DescendingYearOrder.csv\"\n",
    "data = pd.read_csv(in_file, engine='python')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['anzsic06', 'Area', 'year', 'geo_count', 'ec_count'], dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.mlab as mlab\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_bins=20\n",
    "n, bins, patches = plt.hist(data['geo_count'], num_bins, density=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "geo_count = data['geo_count']\n",
    "smaller_geo_count = geo_count[geo_count<100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "num_bins=20\n",
    "n, bins, patches = plt.hist(smaller_geo_count, num_bins, density=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.plot(data['geo_count'], data['ec_count'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,\n",
       "       2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['year'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "ec_2000 = data[data['year']==2000]['ec_count']\n",
    "ec_2001 = data[data['year']==2001]['ec_count']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plt.boxplot([ec_2000[ec_2000<100], ec_2001[ec_2001<100]])\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
